Bai Wang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #34,276 of 35,345 by trust here, #13,544 by citations
• Graph Learning — 18 citations into it
• Representation & Self-Supervised Learning — 9 citations into it

Whom Bai Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Geoffrey E. Hinton

Who trusts Bai Wang overall

1. Xiao Wang

Papers from Bai Wang's perspective

Ordered by how strongly the researchers Bai Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Attention is All you Need (Neural Information Processing Systems)
3. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Visualizing Data using t-SNE
7. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
8. Gradient-based learning applied to document recognition
9. Long Short-Term Memory
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Heterogeneous Graph Attention Network (2019) — 3,241 citations